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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Automatic Parkinson’s disease detection based on the combination of long-term acoustic features and Mel frequency cepstral coefficients (MFCC)
Sara Hawi, Jana Alhozami, Raneem AlQahtani, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 104013-104013
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46105-e46105
Open Access | Times Cited: 23
MFCC in audio signal processing for voice disorder: a review
Manjit Singh Sidhu, Nur Atiqah Abdul Latib, Kirandeep Kaur Sidhu
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals
Gaffari Çelik
Computers in Biology and Medicine (2023) Vol. 163, pp. 107153-107153
Open Access | Times Cited: 12
Twigs classifiers based on the Boundary Vectors Machine (BVM): A novel approach for supervised learning
Kamel Mebarkia, Aicha Reffad
Information Sciences (2025), pp. 121853-121853
Closed Access
Voice feature-based diagnosis of Parkinson’s disease using nature inspired squirrel search algorithm with ensemble learning classifiers
V. Shibina, T. M. Thasleema
Iran Journal of Computer Science (2025)
Closed Access
Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples
Yasir Rahmatallah, Aaron S. Kemp, Anu Iyer, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Vocal Feature Changes for Monitoring Parkinson’s Disease Progression—A Systematic Review
Helen Roseanne Wright, Vered Aharonson
Brain Sciences (2025) Vol. 15, Iss. 3, pp. 320-320
Open Access
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey
Aite Zhao, Yongcan Liu, Xinglin Yu, et al.
Information Fusion (2025), pp. 103175-103175
Closed Access
Towards interpretable speech biomarkers: exploring MFCCs
Brian Tracey, Dmitri Volfson, James Glass, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Towards a Corpus (and Language)-Independent Screening of Parkinson’s Disease from Voice and Speech through Domain Adaptation
Emiro J. Ibarra, Julián D. Arias-Londoño, Matías Zañartu, et al.
Bioengineering (2023) Vol. 10, Iss. 11, pp. 1316-1316
Open Access | Times Cited: 9
Heterogeneous fusion of biometric and deep physiological features for accurate porcine cough recognition
Buyu Wang, Jingwei Qi, Xiaoping An, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0297655-e0297655
Open Access | Times Cited: 2
Efficient Model for Prediction of Parkinson's Disease Using Machine Learning Algorithms with Hybrid Feature Selection Methods
Nutan Singh, Priyanka Tripathi
Communications in computer and information science (2024), pp. 186-203
Closed Access | Times Cited: 1
Multi-modal biological feature selection for Parkinson’s disease staging based on binary PSO with broad learning
Jiao Meng, Xin Huo, Hui Zhao, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106234-106234
Closed Access | Times Cited: 1
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
Janaína Mendes-Laureano, Jorge A. Gómez-García, Alejandro Guerrero-López, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
A review of emergent intelligent systems for the detection of Parkinson’s disease
Samiappan Dhanalakshmi, Ramesh Sai Maanasaa, Ramesh Sai Maalikaa, et al.
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 591-612
Open Access | Times Cited: 3
Early Detection of Parkinson Disease Throughbiomedical Speech and Voice Analysis
Pawan Kumar Badhan, Manjeet Kaur
International Journal on Soft Computing Artificial Intelligence and Applications (2024) Vol. 13, Iss. 1, pp. 11-22
Open Access
An Ensemble Technique to Predict Parkinson's Disease Using Machine Learning Algorithms
Nutan Singh, Priyanka Tripathi
Speech Communication (2024) Vol. 159, pp. 103067-103067
Closed Access
Early Detection of Parkinson Disease through Biomedical Analysis
Pawan Kumar Badhan, Manjeet Kaur
SSRN Electronic Journal (2024)
Closed Access
Automatic Classification of Parkinson’s Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels
J. D. Gallo-Aristizabal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, et al.
Lecture notes in computer science (2024), pp. 313-323
Closed Access
A multi-modal Parkinson’s disease diagnosis system from EEG signals and online handwritten tasks using grey wolf optimization based deep learning model
Kaushal Kumar, Rajib Ghosh
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106946-106946
Closed Access
Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples
Yasir Rahmatallah, Aaron S. Kemp, Anu Iyer, et al.
Research Square (Research Square) (2024)
Closed Access
Speech Feature-Based Machine Learning Model and Smart Devices for Stroke Early Recognition
Quan Liu, Youhua Lin, Chang Liu, et al.
2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (2023), pp. 354-359
Closed Access | Times Cited: 1
Detection of Parkinson's Disease and Its Severity Using Deep Learning
MD Shabbeer, M Pravalika, M Likhitha, et al.
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2023), pp. 368-373
Closed Access | Times Cited: 1
Innovative Personal Assistance: Speech Recognition and NLP-Driven Robot Prototype
Michelle Valerie, Irma Salamah, Lindawati Lindawati
Jurnal Nasional Teknik Elektro (2023)
Open Access | Times Cited: 1
Fault Diagnosis of Mine Hoist Based on MFCC-SVDD
Xiao Wang, JingZhao Li
Highlights in Science Engineering and Technology (2023) Vol. 38, pp. 1116-1122
Open Access
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